| Title |
Toward an accelerated adoption of data-driven findings in medicine
|
|---|---|
| Published in |
Medicine, Health Care and Philosophy, June 2018
|
| DOI | 10.1007/s11019-018-9845-y |
| Pubmed ID | |
| Authors |
Uri Kartoun |
| Abstract |
To accelerate the adoption of a new method with a high potential to replace or extend an existing, presumably less accurate, medical scoring system, evaluation should begin days after the new concept is presented publicly, not years or even decades later. Metaphorically speaking, as chameleons capable of quickly changing colors to help their bodies adjust to changes in temperature or light, health-care decision makers should be capable of more quickly evaluating new data-driven insights and tools and should integrate the highest performing ones into national and international care systems. Doing so is essential, because it will truly save the lives of many individuals. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 22% |
| Medicine and Dentistry | 4 | 17% |
| Business, Management and Accounting | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 January 2019.
All research outputs
#7,570,428
of 23,088,369 outputs
Outputs from Medicine, Health Care and Philosophy
#214
of 596 outputs
Outputs of similar age
#130,932
of 329,367 outputs
Outputs of similar age from Medicine, Health Care and Philosophy
#5
of 10 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 596 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.